Fin is Intercom’s AI Agent for customer service, designed to deliver high-quality answers, even for complex queries. It works with any helpdesk, or it can be paired with Intercom’s next-generation Helpdesk to get the full Intercom Customer Service Suite.
$0.99
one-time fee per outcome
Oracle Service
Score 8.2 out of 10
N/A
Oracle Service is the help desk and customer experience management platform from Oracle. The technology was developed and supported by RightNow Technologies as RightNow CX for cloud-based call center automation, until that company's acquisition by Oracle in 2011 for about $1.5 billion.
N/A
Pricing
Fin by Intercom
Oracle Service
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per outcome
Copilot add-on
$35
per month per user
Pro
$99
per month For analysis of 1,000 conversations
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin outcome
per month per seat
No answers on this topic
Offerings
Pricing Offerings
Fin by Intercom
Oracle Service
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Fin comes with a 90-day money-back guarantee. Here's how it works:
Intercom states that users who sign up for the Fin Guarantee Success Program and do not achieve at least a resolution rate of 65% will be paid $1M. This program is designed for high volume customers.
Eligibility criteria:
High volume customers (over 250k monthly conversions) in North America and Europe. Intercom states that phase one of this program will admit customers on Intercom Helpdesk or Zendesk.
Fin is great for using for first line support. We use Fin for conversations where customers have a standard question, and Fin is able to pull from our content to answer this accurately and go above and beyond to include some basic problem solving. This really helps us free up our Support Team's time for more complex queries. Fin isn't appropriate for us on technical issues or conversations which require human support. We've had to remove Fin from interacting on these conversations as customers were becoming frustrated with speaking to AI, or having Fin be unable to problem solve. However, this was easy to set up through Intercom, and now customers with complex questions/situations or bugs/technical issues do not engage with Fin and Fin only handles suitable conversations.
Oracle Right (Oracle Service Cloud) was an important evolution in the group's ombudsman channel management processes. We brought the Oracle Service Cloud to digitize the processes for capturing and managing the group's ombudsman channel, no longer operating manually (MS Excel).
Oracle Service Cloud (Right Now) brought about an important evolution in the management processes of the group's ombudsman channel, where activities that were performed manually, repetitively and with risk of errors, are now operated by the Right Now platform itself, whether by API, or by automation of the tool.
It seems some users really struggle to figure out how to escalate to a human (especially through email).
Not excited about how "soft" resolutions still count as resolutions and are paid for. Though some abandoned cases appear to be able to be concluded as "the user got the answer they needed", there are others where they clearly didn't, because they just open up another chat (or even more), trying to get more info. This pads the resolution stats and makes it seem more effective than it actually is.
Cost -- Fin is quite expensive. It helps us with scaling coverage, but we're not really saving money.
Oracle Service Cloud needs a better built in integration with Oracle Social Cloud or it needs to build in more Social network capabilities.
SMS is handle via a third party application but could be built in as part of the product.
The knowledge foundation product needs a better way to handle multiple languages. Currently you have to purchase an additional interface for each language. You can purchase the more expensive Knowledge Advance which does have a better language feature.
We have been and will be continuing our journey with Intercom and nothing too concerning has happened that I have experienced or heard of that has us on the edge yet. If it ever happens it will be something along the lines of "Outgrowing" the use of need of the platform.
Although RightNow is extremely flexible, the flexibility comes with a price. It is often not intuitive which settings you need to change (and under which menus these setting are buried) to enable the system to do what you want. Also, sometimes the system can do things you need, but you don't initially realize it. When RightNow sells a system to a new customer, I think it should come with X hours of consulting time with a RightNow expert. The customer should be able to consult with this expert over the next year to get advice concerning how to configure the system to achieve desired needs. Often RightNow Support would just answer "no" when I asked if I could do something, but then I would find another way to achieve my goals after talking with other companies using RightNow.
From an administration standpoint, Fin is very easy to set up, train, and test. Having the ability to impersonate a user in our system to see how Fin responds is huge. It lets you test several situations and throw curveballs at it (as customers will) without the risk of setting Fin live and wondering what will happen. It's also easy to fine-tune. Some chatbots you can never quite get right without spending hours on, but Fin usually takes a few minutes to dial it in. From a customer standpoint, Fin couldn't be easier to engage with. We tell customers up front it's an AI bot and they're wow'd with the experience
The learning curve is fairly steep; but for something that has this much capability, it's nearly impossible to make it "easy". The layout and organization are at least reasonably intuitive. The hardest part-- the "weakest link"-- is the portal development (where you can build help centers and other end-user pages.) The capabilities there are significant, but the learning curve for that part is especially steep and it takes a fair amount of expertise to be able to update it.
We use a lot of tabs and fields on our incident workspace, which should slow the system down, but it's still quite fast, and we continue to optimize whatever is possible.
Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.
Technicians seem to be assessed based solely on how quickly they close the issues. I've had to reopen requests multiple times because they didn't actually solve my problem. Also, when the issue has even a moderate amount of complexity, the technicians often instruct me to "open another SR" to handle the other issue. I'm the customer, I shouldn't have to follow their processes, they should handle that for me. But even when I create the new SR, it seems like their right hand isn't talking to their left - they aren't reading back to the previous issue for context. So I get bounced around a lot, and I have to tell them how to do their job
Most of our training was given while doing user acceptance testing, and getting the system approved by the market. When ever we were in doubt, our implementer helped us along. Later on we started exploring by our selves.
Work with a RightNow expert during the implementation. Explain features that would you like to have. Often, somebody who really knows the system can show you what you need to do to achieve the desired results. Where a RightNow support engineer or a consultant might say "the system can't do that," a RightNow application engineer will listen to what you need, and often come up with an alternate path to achieve it
We only used the free live chat version from HubSpot, so Intercom is yards better! If I were just comparing an actual live chat between the two tools, HubSpot was often clunky and delayed, and it was hard to find past conversation information
TCS' customers who also selected Oracle Service Cloud over Salesforce Service Cloud and GE's ServiceMax in the Mfg. vertical in which I work, did so because of the robust ability of Oracle Service Cloud and its APIs to integrate with other value-add solutions for manufacturers such as IoT applications, Big Data Analytics, and Field Service applications.
New role opportunities — Using the “Fin-first” approach has reduced the workload for our Tier 1 team, giving them more time to focus on their own career growth. It’s also opened the door to a dedicated, AI-focused role, where a team member regularly reviews Fin’s answers and makes updates to help it perform even better.
Enabling Fin has also reduced our response time and allowed us to meet SLA's.
